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Learn by Example : HBase - The Hadoop Database
You, This Course and Us
You, This Course and Us (1:50)
Source Code and PDFs
Introduction to HBase
The problem with distributed computing (7:17)
Installing HBase (10:57)
The Hadoop ecosystem (8:01)
The role of HBase in the Hadoop ecosystem (9:42)
How is HBase different from RDBMS? (3:10)
HBase Data Model (10:44)
Introducing CRUD operations (8:32)
HBase is different from Hive (4:48)
CRUD operations using the HBase Shell
[For Linux/Mac OS Shell Newbies] Path and other Environment Variables (8:25)
Example1 - Creating a table for User Notifications (5:24)
Example 2 - Inserting a row (3:51)
Example 3 - Updating a row (3:14)
Example 4 - Retrieving a row (4:24)
Example 5 - Retrieving a range of rows (3:48)
Example 6 - Deleting a row (2:11)
Example 7 - Deleting a table (2:17)
CRUD operations using the Java API
Example 8 - Creating a table with HBaseAdmin (6:36)
Example 9 - Inserting a row using a Put object (8:33)
Example 10 - Inserting a list of Puts (3:30)
Example 11 - Retrieving data - Get and Result objects (10:55)
Example 12 - A list of Gets (3:34)
Example 13 - Deleting a row (2:25)
Example 14 - A list of Deletes (2:36)
Example 15 - Mix and match with batch operations (6:02)
Example 16 - Scanning a range of rows (8:06)
Example 17 - Deleting a table (3:51)
HBase Architecture
HBase Architecture (9:20)
Advanced operations - Filters and Counters
Example 18 - Filter by Row id - RowFilter (8:56)
Example 19 - Filter by column value - SingleColumnValueFilter (5:13)
Example 20 - Apply multiple conditions - Filterlist (4:31)
Example 21 - Retrieve rows within a time range (2:11)
Example 22 - Atomically incrementing a value with Counters (7:31)
MapReduce with HBase
Example 23 : A MapReduce task to count Notifications by Type (10:24)
Example 23 continued: Implementing the MapReduce in Java (13:35)
Demo : Running a MapReduce task (2:21)
Build a Notification Service
Example 24 : Implement a Notification Hierarchy (13:30)
Example 25: Implement a Notifications Manager (12:05)
Installing Hadoop in a Local Environment
Hadoop Install Modes (8:32)
Hadoop Install Step 1 : Standalone Mode (15:46)
Hadoop Install Step 2 : Pseudo-Distributed Mode (11:44)
Setting up a Virtual Linux Instance - For Windows Users (15:58)
Example 21 - Retrieve rows within a time range
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